Posthumanist perspectives on transhumanist marketing: More than human genes, more than market promotion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transhumanism advocates enhancement of current human capacities with new technologies, in pursuit of human improvement and perfection, and thereby creates lucrative marketing opportunities. We use the broader concept of posthumanism, which includes this, but also all the other ways in which humans are enhanced by non-humans. However, our study is not about posthumanism, but about how a posthumanist critique can enhance our analyses and diagnoses. We consider not just technology, but also other species such as our microbiome, in an effort to critically examine transhumanist marketing, and develop analytic tools to better understand it. The limitations are highlighted with an extended example of the marketing of health information in response to the Covid-19 pandemic. Transhumanist marketing is distinguished between “ends”, promoting products, and “means”, as ways to facilitate marketing. We offer a typology of motivations for consumption of transhumanist goods and services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it